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Methodology
← Models
Deep Learning
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Models
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Diffusion Models
4342 directly classified papers
Papers per year
2010: 1
2015: 2
2016: 1
2018: 2
2019: 5
2020: 15
2021: 28
2022: 85
2023: 687
2024: 1279
2025: 1778
2026: 459
Papers
Are Diffusion Models Vulnerable to Membership Inference Attacks?
ICML 2023
DDGR: Continual Learning with Deep Diffusion-based Generative Replay
ICML 2023
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
ICML 2023
simple diffusion: End-to-end diffusion for high resolution images
ICML 2023
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
ICML 2023
Scalable Adaptive Computation for Iterative Generation
ICML 2023
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
ICML 2023
Denoising MCMC for Accelerating Diffusion-Based Generative Models
ICML 2023
Diffusion Models for Black-Box Optimization
ICML 2023
SinDDM: A Single Image Denoising Diffusion Model
ICML 2023
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
ICML 2023
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis
ICML 2023
Minimizing Trajectory Curvature of ODE-based Generative Models
ICML 2023
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement
INTERSPEECH 2023
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
ICML 2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
ICML 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems
ICML 2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
ICML 2023
Thompson Sampling with Diffusion Generative Prior
ICML 2023
Composer: Creative and Controllable Image Synthesis with Composable Conditions
ICML 2023
Autoregressive Diffusion Model for Graph Generation
ICML 2023
Exploring Chemical Space with Score-based Out-of-distribution Generation
ICML 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
ICML 2023
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds
ICML 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
ICML 2023
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